When kicking off a new generative AI project, one of the most vital choices you’ll make is selecting an ideal AI foundation model. This is not a small decision; it will have a substantial impact on the project’s success. The model you choose must not only fulfil your specific requirements, but also be within your budget and align with your organisation’s risk management strategies.
To begin, you must first determine a clear goal for your AI project. Whether you want to create lifelike graphics, text, or synthetic speech, the nature of your assignment will help you choose the proper model. Consider the task’s complexity as well as the level of quality you expect from the outcome. Having a specific aim in mind is the first step towards making an informed decision.
After you’ve defined your use case, the following step is to look into the various AI foundation models accessible. These models come in a variety of sizes and are intended to handle a wide range of tasks. Some are designed for specific uses, while others are more adaptable. It is critical to include models that have proven successful in tasks comparable to yours in your consideration list.
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